Donald B. Rubin, John L. Loeb Professor of Statistics, Department of Statistics, Harvard University, was the invited speaker for the K.C.S. Pillai Memorial Lecture which was held on Monday, October 22, 2007 at 4:30pm in MATH 175. The title of his talk was Principal Stratification for Causal Inference with Extended Partial Compliance. A reception preceded the seminar at 4:00pm in the Mathematical Sciences Library Lounge.

Professor Rubin earned his A.B. in Psychology from Princeton University in 1965. In 1966 he earned his M.S. in Computer Science from Harvard University, and in 1970 he earned his Ph.D. in Statistics, also from Harvard University.

In addition to his academic duties at Harvard University, Professor Rubin is currently serving as President of Datametrics Research, Inc., Waban, MA; Chairman of the Board of Directors of Analytical Business Systems, Philadelphia, PA; and Research Associate, National Opinion Research Center (NORC), Chicago, IL.

He has published widely on numerous topics in statistics, and is perhaps best known for his work on missing data and causal inference. His more than 300 articles have appeared in over 30 journals, and he is the author or co-author of several books on missing data, causal inference, and Bayesian data analysis, many of which are the standards in their fields. In 1995, Professor Rubin received the prestigious Samuel S. Wilks Memorial Award from the American Statistical Association. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science.